[+] Integer: sorting in linear time for w = Ω(lg2+ε n), priority queues | ||||
This lecture is about the state-of-the-art in sorting and priority
queues on a word RAM. An equivalence by Thorup shows that any sorting
algorithm can be transformed into a priority queue with operations taking
1/nth the time to sort. So these are really one and the same problem.
The best results we know for sorting in linear time (and thus for constant-time priority queues) is when w = O(lg n) and when w = Ω(lg2+ε n). The first result is just radix sort. The second result is the main topic of the lecture: a fancy word-RAM algorithm called signature sorting. It uses a combination of hashing, merge sort, and parallel sorting networks. The range of w in between lg and lg2+ε remains unsolved. The best algorithm so far runs in O(n √lg lg n) expected time. | ||||
Lecture notes, page 1/7 •
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